Victor da Cruz Ferreira

According to our database, Victor da Cruz Ferreira authored at least 13 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

A Novel Fault-Tolerant Architecture for Tiled Matrix Multiplication.

Sandeep Bal, Chandra Sekhar Mummidi, Victor da Cruz Ferreira, Sudarshan Srinivasan, Sandip Kundu

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023

2022

Analysis of Fake News Classification for Insight into the Roles of Different Data Types.

Victor da Cruz Ferreira, Sandip Kundu, Felipe M. G. França

Proceedings of the 16th IEEE International Conference on Semantic Computing, 2022

2021

Preventing DNN Model IP Theft via Hardware Obfuscation.

Brunno F. Goldstein, Vinay C. Patil, Victor da Cruz Ferreira, Alexandre Solon Nery, Felipe M. G. França, Sandip Kundu

IEEE J. Emerg. Sel. Topics Circuits Syst., 2021

A Lightweight Error-Resiliency Mechanism for Deep Neural Networks.

Brunno F. Goldstein, Victor da Cruz Ferreira, Sudarshan Srinivasan, Dipankar Das, Alexandre Solon Nery, Sandip Kundu, Felipe M. G. França

Proceedings of the 22nd International Symposium on Quality Electronic Design, 2021

2020

Cost-effective, Energy-efficient, and Scalable Storage Computing for Large-scale AI Applications.

Jae Young Do, Victor da Cruz Ferreira, Hossein Bobarshad, Mahdi Torabzadehkashi, Siavash Rezaei, Ali Heydarigorji, Diego Fonseca Pereira de Souza, Brunno F. Goldstein, Leandro Santiago, Min Soo Kim, Priscila M. V. Lima, Felipe M. G. França, Vladimir Castro Alves

ACM Trans. Storage, 2020

Reliability Evaluation of Compressed Deep Learning Models.

Brunno F. Goldstein, Sudarshan Srinivasan, Dipankar Das, Kunal Banerjee, Leandro Santiago de Araújo, Victor da Cruz Ferreira, Alexandre Solon Nery, Sandip Kundu, Felipe M. G. França

Proceedings of the 11th IEEE Latin American Symposium on Circuits & Systems, 2020

Fast Deep Neural Networks Convergence using a Weightless Neural Model.

Alan T. L. Bacellar, Brunno F. Goldstein, Victor da Cruz Ferreira, Leandro Santiago, Priscila M. V. Lima, Felipe M. G. França

Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020

2019

A dataflow runtime environment and static scheduler for edge, fog and in-situ computing.

Caio B. G. Carvalho, Victor da Cruz Ferreira, Felipe M. G. França, Cristiana B. Bentes, Gabriele Mencagli, Tiago A. O. Alves, Alexandre da Costa Sena, Leandro A. J. Marzulo

Int. J. Grid Util. Comput., 2019

A Feasible FPGA Weightless Neural Accelerator.

Victor da Cruz Ferreira, Alexandre Solon Nery, Leandro A. J. Marzulo, Leandro Santiago, Diego Fonseca Pereira de Souza, Brunno F. Goldstein, Felipe M. G. França, Vladimir Castro Alves

Proceedings of the IEEE International Symposium on Circuits and Systems, 2019

Teaching High Performance Computing through Parallel Programming Marathons.

Leandro A. J. Marzulo, Calebe P. Bianchini, Leandro Santiago, Victor da Cruz Ferreira, Brunno F. Goldstein, Felipe M. G. França

Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2019

Hardware-Accelerated Similarity Search with Multi-Index Hashing.

Leandro Santiago de Araújo, Victor da Cruz Ferreira, Brunno Figueiroa Goldstein, Alexandre Solon Nery, Leandro Augusto Justen Marzulo, Sandip Kundu, Felipe Maia Galvão França

Proceedings of the 2019 IEEE Intl Conf on Dependable, 2019

2018

A Smart Disk for In-Situ Face Recognition.

Victor da Cruz Ferreira, Alexandre Solon Nery, Felipe Maia Galvão França

Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium Workshops, 2018

2017

Towards a Dataflow Runtime Environment for Edge, Fog and In-Situ Computing.

Caio B. G. Carvalho, Victor da Cruz Ferreira, Felipe M. G. França, Cristiana Bentes, Tiago A. O. Alves, Alexandre da Costa Sena, Leandro A. J. Marzulo

Proceedings of the 2017 International Symposium on Computer Architecture and High Performance Computing Workshops, 2017